Machine Learning Approaches for Head and Neck Cancer Stage Detection

One of the leading causes of death in the world is cancer. The stage detection of Head and Neck Cancer (HNC) is crucial because it influences the appropriate course of treatment at the appropriate moment, enhancing patient outcomes. The primary goal of this study is to determine the scope and seriousness accurately of the HNC. To assess the severity of HNC at four distinct phases, this study included a comprehensive analysis of a machine learning-based categorization system. In this study, advanced machine learning, more specifically Convolutional Neural Networks (CNNs) are used to detect the stage of severity of HNC. With a remarkable 99.76% accuracy rate, the CNN model performs better than VGG-16, VGG-19, ResNet50, and MobileNetV2 in the prediction of…